Lead Analytics Engineer

Summary

Join Lovevery as a Lead Analytics Engineer and play a pivotal role in shaping our data strategy. This high-impact individual contributor role involves strategic ownership and light people management, focusing on analytics engineering architecture and hands-on delivery. You will solve complex problems, operationalize data for scale, and leverage AI-driven solutions. Lead by example and set the direction for our data platform. The ideal candidate is a hands-on leader with a strong vision, passionate about AI and data transformation, and skilled in communication and building data products. You will consistently deliver clean, actionable data models and tools.

Requirements

• 5+ years in Analytics Engineering, Business Intelligence, or Data Engineering roles, with 2+ years in a lead or management capacity
• Experience building out production datasets and a proven ability to implement key industry data warehousing techniques on cloud infrastructure such as Delta Lakehouse or other cloud-based platform (3-5+ years)
• Strong understanding of advanced concepts in SQL including under-the-hood performance implications
• 3+ years of experience owning the transformation layer using DBT in a modern stack, in a team setting and preferably in a growth environment
• Skilled in visualization and reporting platforms such as Looker, Tableau, PowerBI, or similar—both in building dashboards and enabling business users to self-serve effectively
• A track record of building trust in data through well-tested pipelines, proactive alerting, and strong data quality standards
• Proven ability to design and deliver intuitive, business-friendly data models that support self-service exploration and operational reporting
• Familiarity with integrating AI and automation tools (e.g., GitHub Copilot, Natural Language Query tools) to enhance development and user-facing capabilities

Responsibilities

• Own the Analytics Engineering Strategy: Define and execute the roadmap for analytics engineering within the broader data ecosystem, ensuring alignment with organizational priorities
• Lead with Expertise: Operate independently as the most senior technical expert in analytics engineering, leading architecture and implementation of robust, scalable datasets and data models
• Prioritize for Impact: Balance short-term deliverables with long-term vision, maintaining a clear focus on what moves the business forward
• Champion AI & Automation: Drive adoption of AI-assisted coding, documentation, and data exploration techniques to streamline development and enhance self-serve capabilities for business users
• Build and Maintain the Gold Layer: Collaborate with Data Engineering to implement a best-in-class medallion architecture in Databricks using DBT
• Cross-Functional Collaboration: Work closely with Product Managers, Engineers, and Business Stakeholders to capture requirements and translate them into technical solutions
• Empower Business Users: Partner with power users to enable data fluency and help teams build and explore reporting tools that unlock value

Benefits

• Competitive salary, benefits and stock option package
• 3 weeks PTO in year 1 +14 paid holidays
• Generous parental leave
• Any equipment you need to get the job done
• Free/discounted Lovevery products
• Remote working option available anywhere in the US